{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":45867,"databundleVersionId":6924515,"sourceType":"competition"}],"dockerImageVersionId":30588,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"* Predict cancer epitopes from cancer sequence\n がん配列データからがんエピトープを予測\n\nhttps://www.kaggle.com/code/ngnmwt/predict-cancer-epitopes-from-cancer-sequence-note\n\n\n* Antigen Receptor Classifier\n 抗原受容体分類器\n\nhttps://www.kaggle.com/code/ngnmwt/mhc-antigen-receptor-classifier-note\n\n\n\n\n# * explanation\n\n\n\nmicroarray (TMA)にあうように\n\nCoconuts signal\n\nRF signal\n\nHmv signal\n\n\n* file stack\n\nhttps://www.kaggle.com/ngnmwt/file-stack-magic-notebook\n\n\nGamma signal\n\nAlpha\n\ntheta\n\ndelta\n\nVLF\n\nNano cat\n\nWSI\n\nCOORDINATE array\n\n3DX\n\nEDA PLM\n\nRNA DNAview\n\nHLA\n\nDR\n\nDHA EPA\n\n* MHC Predict cancer epitopes cancer sequence\n\n* MHC Antigen Receptor Classifier\n\nMHC Genome and flurry Neuron\n\nmhc-snaf\n\nmhc-pmbec\n\nMHClovac\n","metadata":{}},{"cell_type":"markdown","source":"","metadata":{}},{"cell_type":"markdown","source":"","metadata":{}}]}